Artificial intelligence based hybridization for economic power dispatch
Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern he...
Main Authors: | , |
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Format: | Article |
Language: | English |
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KeAi Communications Co. Ltd.
2023-01-01
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Series: | Cognitive Robotics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667241323000228 |
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author | Kothuri Rama Krishna Rajesh Kumar Samala |
author_facet | Kothuri Rama Krishna Rajesh Kumar Samala |
author_sort | Kothuri Rama Krishna |
collection | DOAJ |
description | Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern heuristic optimization techniques for scheduling of the committed generator units. In this study, two cases are taken named three-unit system and six-unit system. The fuel cost for both systems compared using conventional lambda-iteration method and PSO method. These calculations are done for without transmission loss as well as with transmission losses. In the end, the fuel cost for both methods compared to analyze the better one from them. All the analyses are executed in MATLAB environment. |
first_indexed | 2024-03-11T22:30:43Z |
format | Article |
id | doaj.art-38354bb64aef4984b17b19b49bd5f503 |
institution | Directory Open Access Journal |
issn | 2667-2413 |
language | English |
last_indexed | 2024-03-11T22:30:43Z |
publishDate | 2023-01-01 |
publisher | KeAi Communications Co. Ltd. |
record_format | Article |
series | Cognitive Robotics |
spelling | doaj.art-38354bb64aef4984b17b19b49bd5f5032023-09-23T05:13:18ZengKeAi Communications Co. Ltd.Cognitive Robotics2667-24132023-01-013218225Artificial intelligence based hybridization for economic power dispatchKothuri Rama Krishna0Rajesh Kumar Samala1Department of Electrical and Electronics Engineering, BVRIT, Hyderabad, Telangana, IndiaATLAS SkillTech University, Mumbai, Maharashtra, India; Corresponding author.Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern heuristic optimization techniques for scheduling of the committed generator units. In this study, two cases are taken named three-unit system and six-unit system. The fuel cost for both systems compared using conventional lambda-iteration method and PSO method. These calculations are done for without transmission loss as well as with transmission losses. In the end, the fuel cost for both methods compared to analyze the better one from them. All the analyses are executed in MATLAB environment.http://www.sciencedirect.com/science/article/pii/S2667241323000228Economic power dispatchALOFLC |
spellingShingle | Kothuri Rama Krishna Rajesh Kumar Samala Artificial intelligence based hybridization for economic power dispatch Cognitive Robotics Economic power dispatch ALO FLC |
title | Artificial intelligence based hybridization for economic power dispatch |
title_full | Artificial intelligence based hybridization for economic power dispatch |
title_fullStr | Artificial intelligence based hybridization for economic power dispatch |
title_full_unstemmed | Artificial intelligence based hybridization for economic power dispatch |
title_short | Artificial intelligence based hybridization for economic power dispatch |
title_sort | artificial intelligence based hybridization for economic power dispatch |
topic | Economic power dispatch ALO FLC |
url | http://www.sciencedirect.com/science/article/pii/S2667241323000228 |
work_keys_str_mv | AT kothuriramakrishna artificialintelligencebasedhybridizationforeconomicpowerdispatch AT rajeshkumarsamala artificialintelligencebasedhybridizationforeconomicpowerdispatch |